The opportunity
Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are…
What you'll do
You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact, helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user, and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we're all racing toward our connected operations vision, and we intend to win together.
Own customer-facing features and platform capabilities end to end, from: design and implementation through rollout and follow-through in production, including taking AI prototypes to production at scale.
What they're looking for
- Architect, build, test, and deliver full-stack products across reliable: services, APIs, and web and mobile experiences, using technologies such as Golang, GraphQL, TypeScript, React, React Native, and MySQL. Previous experience with these technologies is not required.
- Build AI-native product experiences: integrate LLMs into safety workflows, develop agent tooling and retrieval-augmented generation (RAG), and design the interactions between AI agents and the product UI.
- Design and run evaluations and build human-in-the-loop feedback loops that: continuously improve the accuracy, precision, and reliability of the insights we deliver.
- Use AI coding tools and agents in your own workflow to plan, build, and ship: faster, and help shape how our team develops software in an AI-assisted world.
